In all cases, a professor from Clemson University is conducting VR experiments. The professor sends invitation to some students. The likelihood of each student accepting the invitation independently is 20%. The probability that the professor sends 20 invitations and exactly 5 students accept the invitation. The probability that the professor sends 20 invitations and at least 5 students accept the invitation. The number of invitations that needs to be sent to have an expected number of participants.
In all cases, a professor from Clemson University is conducting VR experiments. The professor sends invitation to some students. The likelihood of each student accepting the invitation independently is 20%. The probability that the professor sends 20 invitations and exactly 5 students accept the invitation. The probability that the professor sends 20 invitations and at least 5 students accept the invitation. The number of invitations that needs to be sent to have an expected number of participants.
A First Course in Probability (10th Edition)
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![Match the description at the top with the formula from the bottom, writing the letter at the
left of each description. Each letter answer may be used 0, 1 or more than one time.
In all cases, a professor from Clemson University is conducting VR experiments. The
professor sends invitation to some students. The likelihood of each student accepting the
invitation independently is 20%.
The probability that the professor sends 20 invitations and exactly 5 students
accept the invitation.
The probability that the professor sends 20 invitations and at least 5 students
accept the invitation.
The number of invitations that needs to be sent to have an expected number of 5
participants.
For the following cases, assume that the professor sends the invitations one by one (sends
the first invitation and waits for the respond from the student, then sends the second
invitation, and so on).
The probability that the professor has to send more than 4 invitations until the
first acceptance.
The expected number of invitations sent until the first acceptance.
i-5 (20
i=20 ( 20
Σ
20-i
20-i
(0.2)'(0.
f.
25
k.
a.
i
1=1
i=5
20
(0.8)
(0.8) (0.2)5
b.
g.
1.
i-20 (20
Σ
20-i
40
h.
(0.8)'(0.2)
с.
m.
i
i-5 (20
20
(0.2)
Σ
i
d.
20
n.
(20-
i=1
4.
j.
1-(1-(1–0.2)*)
None of the above
e.
O.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8c0ef31b-75a9-41b1-ada2-c243e114a1f7%2F8eff7493-9f1a-4f51-9da7-3e8511d82221%2F9sp32ws_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Match the description at the top with the formula from the bottom, writing the letter at the
left of each description. Each letter answer may be used 0, 1 or more than one time.
In all cases, a professor from Clemson University is conducting VR experiments. The
professor sends invitation to some students. The likelihood of each student accepting the
invitation independently is 20%.
The probability that the professor sends 20 invitations and exactly 5 students
accept the invitation.
The probability that the professor sends 20 invitations and at least 5 students
accept the invitation.
The number of invitations that needs to be sent to have an expected number of 5
participants.
For the following cases, assume that the professor sends the invitations one by one (sends
the first invitation and waits for the respond from the student, then sends the second
invitation, and so on).
The probability that the professor has to send more than 4 invitations until the
first acceptance.
The expected number of invitations sent until the first acceptance.
i-5 (20
i=20 ( 20
Σ
20-i
20-i
(0.2)'(0.
f.
25
k.
a.
i
1=1
i=5
20
(0.8)
(0.8) (0.2)5
b.
g.
1.
i-20 (20
Σ
20-i
40
h.
(0.8)'(0.2)
с.
m.
i
i-5 (20
20
(0.2)
Σ
i
d.
20
n.
(20-
i=1
4.
j.
1-(1-(1–0.2)*)
None of the above
e.
O.
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